DLSS (Deep Learning Super Sampling) is a technology developed by NVIDIA that uses artificial intelligence to improve the rendering quality of games and applications.
It works by taking multiple low-resolution images and using them to generate a high-resolution image in real time. In this article, we will explore how DLSS works within Unreal Engine.
What is DLSS?
DLSS is a technology that uses artificial intelligence to improve the rendering quality of games and applications. It does this by taking multiple low-resolution images and using them to generate a high-resolution image in real time. This allows for better visuals without increasing the demands on the system’s hardware. DLSS can be used in a variety of settings, including gaming, virtual reality, and professional applications.
How does DLSS work?
DLSS works by using a combination of convolutional neural networks (CNNs) and upscaling algorithms to generate high-resolution images. The process begins with a low-resolution image that is captured by the system’s graphics card. This image is then fed into the CNN, which analyzes the image and determines how to fill in the missing details.
The CNN uses multiple low-resolution images as input to generate a high-resolution image. The images are processed using upscaling algorithms, which use the data from the lower-resolution images to create a higher resolution version of the image. This process is done in real time, allowing for smooth and seamless visuals.
Benefits of DLSS
The main benefit of DLSS is that it allows for improved rendering quality without increasing the demands on the system’s hardware. This can be especially useful in high-end gaming applications where every frame count matters. DLSS can also improve the overall performance of an application by reducing the number of render passes required to generate a high-resolution image.
Implementing DLSS in Unreal Engine
To implement DLSS in Unreal Engine, you will need to have an NVIDIA GPU that supports the technology. You can then enable DLSS within the engine’s settings and configure it to use the appropriate level of upscaling.
It is important to note that implementing DLSS in Unreal Engine may require some additional configuration and tuning to achieve the best results. This includes adjusting the upscaling algorithm, optimizing the render pipeline, and tweaking the quality settings.
Summary
DLSS is a powerful technology that can improve the rendering quality of games and applications without increasing the demands on the system’s hardware. It works by using artificial intelligence to generate high-resolution images from multiple low-resolution images. To implement DLSS in Unreal Engine, you will need an NVIDIA GPU that supports the technology and some additional configuration and tuning. With DLSS, you can achieve better visuals and improved performance in your applications.